Llama-2-70b-chat-hf
Maintainer: meta-llama
2.1K
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Property | Value |
---|---|
Run this model | Run on HuggingFace |
API spec | View on HuggingFace |
Github link | No Github link provided |
Paper link | No paper link provided |
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Model overview
Llama-2-70b-chat-hf
is a 70 billion parameter language model from Meta, fine-tuned for dialogue use cases. It is part of the Llama 2 family of models, which also includes smaller versions of 7B and 13B parameters as well as fine-tuned "chat" variants. According to the maintainer meta-llama, the Llama-2-Chat models outperform open-source chat models on most benchmarks and are on par with some popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety.
Model inputs and outputs
Inputs
- The model accepts text input only.
Outputs
- The model generates text output only.
Capabilities
The Llama-2-70b-chat-hf
model is capable of engaging in open-ended dialogue, answering questions, and generating human-like text across a variety of topics. It has been fine-tuned to provide helpful and safe responses, making it suitable for use cases like virtual assistants, chatbots, and language generation.
What can I use it for?
The Llama-2-70b-chat-hf
model could be used to build conversational AI applications, such as virtual assistants or chatbots, that can engage in open-ended dialogue with users. It could also be used for text generation tasks like summarization, creative writing, or content creation. However, as with any large language model, care should be taken to ensure its outputs are aligned with intended use cases and do not contain harmful or biased content.
Things to try
One interesting thing to try with Llama-2-70b-chat-hf
is exploring its capabilities in multi-turn dialogue. By providing it with context from previous exchanges, you can see how it maintains coherence and builds upon the conversation. Additionally, you could experiment with prompting the model to take on different personas or styles of communication to observe how it adapts its language.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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Llama-2-70b-hf is a 70 billion parameter generative language model developed and released by Meta as part of their Llama 2 family of large language models. This model is a pretrained version converted for the Hugging Face Transformers format. The Llama 2 collection includes models ranging from 7 billion to 70 billion parameters, as well as fine-tuned versions optimized for dialogue use cases. The Llama-2-70b-chat-hf model is the fine-tuned version of this 70B model, optimized for conversational abilities. Model inputs and outputs Inputs Llama-2-70b-hf takes text input only. Outputs The model generates text output only. Capabilities The Llama-2-70b-hf model is a powerful auto-regressive language model that can be used for a variety of natural language generation tasks. It outperforms many open-source chat models on industry benchmarks and is on par with some popular closed-source models like ChatGPT and PaLM in terms of helpfulness and safety. What can I use it for? The Llama-2-70b-hf model is intended for commercial and research use in English. The pretrained version can be adapted for tasks like text generation, summarization, and translation, while the fine-tuned Llama-2-70b-chat-hf model is optimized for assistant-like chat applications. Things to try Developers can fine-tune the Llama-2-70b-hf model for their specific use cases, leveraging the model's strong performance on a variety of NLP tasks. The Llama-2-7b-hf and Llama-2-13b-hf models provide smaller-scale alternatives that may be more practical for certain applications.
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